Multi-level SLIC superpixels segmentation method based on edge detection operator

Sen Ni; Dongmei Fu; Tao Yang

doi:10.1117/12.2244267

25 October 2016 Multi-level SLIC superpixels segmentation method based on edge detection operator

Sen Ni, Dongmei Fu, Tao Yang

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101570F (2016) https://doi.org/10.1117/12.2244267
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

Simple linear iterative clustering (SLIC) super-pixel algorithm for its excellent performance and efficient border holding computational efficiency is widely used in image processing. But with the increase of the number of super-pixels, there will be a lot of redundancy in the image merging process. In this paper, we propose a multi-level super-pixels method based SLIC algorithm, which focuses on the target area to set up edge detection operator for generating multi-level super-pixels. Simulation results show that the proposed method ensures the accuracy of extraction and improves the computational efficiency.

Citation Download Citation

Sen Ni, Dongmei Fu, and Tao Yang "Multi-level SLIC superpixels segmentation method based on edge detection operator", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101570F (25 October 2016); https://doi.org/10.1117/12.2244267

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